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D’Ignazio, Catherine, and Lauren F. Klein. 2020. Data Feminism. Cambridge, MA, USA: MIT Press.Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. ‘On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜’. Pp. 610–23 in Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, FAccT ’21. New York, NY, USA: Association for Computing Machinery.Luccioni, Alexandra Sasha, and Joseph D. Viviano. 2021. ‘What’s in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus’.Orr, Will, and Kate Crawford. 2024. ‘The Social Construction of Datasets: On the Practices, Processes, and Challenges of Dataset Creation for Machine Learning’. New Media & Society 26(9):4955–72. doi:10.1177/14614448241251797.